Data lake buildup

Customer

Major German Automotive

Problem

  • Siloed data spread across multiple systems
  • Inability to properly analyse manufacturing/test/sales data on a common platform

Solution

  • New data infrastructure architecture and buildup

Impact

  • Enterprise data lake. Governed, and secured
  • Foundation for the analytical use cases

Airline onboarding to a data platform

Customer

Airplane producer

Problem

  • Upon creation of the data platform for airplane maintenance, the customer wanted to connect different airlines to the platform

Solution

  • Unit8 helped onboard several airlines onto the common aviation platform to exchange airplane maintenance data

Impact

  • Customer gets more granular visibility into the airplane mechanics and operations
  • New level of insights for predictive maintenance

Aviation data platform

Customer

Airplane producer

Problem

  • The customer was creating an industry leading airplane data platform
  • Data from 100s of global airlines needed to be integrated on a single platform to allow predictive maintenance.

Solution

  • Unit8 team helped with onboarding maintenance data from airlines in order to create data ecosystem accessible to airlines and manufacturers

Impact

  • Unit8 contributed to the creation of the data platform allowing the customer to gain deeper visibility into the airplane data
  • New level of insights for predictive maintenance

Forecasting platform

Customer

Major German Automotive

Problem

  • Our client, a global automotive company, lacked a central data platform for forecast generation and analysis. As a result, its teams could not collaborate or analyze data efficiently.

Solution

  • a modern data platform with long-term scalability was scoped, designed and implemented together with the initial first Proof of Concepts

Impact

The new platform enables the customer to:

  • Develop and operate forecasting models quickly and consistently
  • Collaborate on and reuse models, preventing redundant code development

Residual value prediction

Customer

German automotive

Problem

  • Car manufacturer holds large global leasing portfolio that has to be periodically evaluated
  • Current valuation predictions are inaccurate

Solution

  • Based on a large volume of past transactions (12 years) and cars parameters (model, mileage, options), etc. predict accurately the residual value of the car

Impact

  • Accuracy of the valuation improved by $100M’s (from large overall base value)

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